Jun 2023 – Jun 2024 · 1 yr · Remote

• Contributed to core application development as part of the Intelligent Search team at Neuron7.ai.
• Enhanced REST APIs developed using Spring Boot, ensuring functionality and reliability through the creation of robust unit test cases, tested extensively using Postman.
• Led the setup of a Docker-based Apache Superset environment, enabling seamless service flow. Migrated legacy dashboards to the new Superset service and significantly improved dashboard performance, especially for large datasets, by implementing Redis caching.
• Developed optimized Python scripts for data ingestion processes integral to the Intelligent Search product, improving efficiency and scalability.
• Designed and deployed a fully automated pipeline for document ingestion using cron jobs, streamlining operations critical to the search platform's functionality.
• Assisted senior team members on multiple projects, contributing to key tasks and ensuring timely delivery of projects.
• Authored comprehensive documentation covering the search service architecture, dashboard deployment processes, and key metrics, ensuring clarity and consistency in service management.

Jul 2022 – Aug 2022 · 1 mo · Remote · Remote

• ◦ Developed an optimal stock prediction model for the Systematic Trade portfolio selection to achieve higher return
• ◦ Pre-processed and cleaned the dataset of 500 different stocks and performed extensive feature engineering
• ◦ Implemented and compared various forecasting techniques like LSTM,LightGBM to achieve higher sharpe ratio

Jun 2022 – Aug 2022 · 2 mos · Remote

May 2022 – Jul 2022 · 2 mos · Remote

• Newsvendor Demand Density Prediction
• ◦ Dataset: Prepared a dataset providing weekly demand of 2500+ products provided by a retailer based in Quebec
• ◦ Model: Implemented LSTM model and combined with MDN to estimate the density function of demand of products
• ◦ Result: Contributed in designing an optimization model to learn the parameters for minimizing the loss of newsvendor

Dec 2021 – Feb 2022 · 2 mos · Remote

• Nearest neighbour classification of Time Series
• ◦ Distances: Implemented efficient Dynamic time warping algorithm to calculate distances between univariate time series
• ◦ Data Analysis: Prepared and processed datasets of time series in pandas library for easier implementation of models
• ◦ Building Models: Built a k nearest neighbour classification model for finding optimal number of nearest neighbours
• ◦ Analysis: Analysed the final results using matplotlib

Dec 2021 – Dec 2021 · 0 mo